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AI Data Scientist(m/w/x)
Building AI-driven data pipelines for renewable energy analytics. Advanced statistical analysis and Python/R proficiency required. 30 days vacation, flexible hours, mobile working.
Requirements
- Bachelor's or Master's in Computer Science, Data Science, or similar
- Proven experience in Data Science / Data Engineering
- Advanced statistical analysis, EDA, and hypothesis-driven modeling
- Strong Python/R proficiency for data science (pandas, numpy, scikit-learn)
- AI-supported development skills
- Expertise in feature engineering, data preparation, and quality assessment
- Ability to select appropriate models based on problem and data maturity
- Understanding of LLMs and AI approaches (limitations, bias, quality)
- Strong analytical storytelling for business decisions
- Experience with data processing and pipelines
- Basic understanding of cloud & AI Ops concepts
- Strong problem-solving skills with analytical mindset
- Team-orientation and openness to collaboration
- Ability to explain technical concepts to stakeholders
- Experience in B2B or sales analytics (advantageous)
- Knowledge of renewable energy or technology sector (advantageous)
Tasks
- Prepare and clean data for model training
- Ensure data quality, consistency, and availability
- Integrate data from CRM, ERP, and other business systems
- Build and maintain data pipelines
- Perform feature engineering
- Optimize machine learning models
- Support model deployment and integration
- Monitor and improve model performance
- Design and optimize prompts and LLM-based solutions
- Assist in designing internal compliance frameworks
- Ensure ethical standards and operational standards
- Comply with laws, rules, and regulations (e.g., EU AI Act, GDPR)
- Collaborate with stakeholders to translate requirements
- Provide technical input to project teams
- Continuously improve AI development processes
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- R
- pandas
- numpy
- scikit-learn
- LLMs
Benefits
Learning & Development
- Further training opportunities
Flexible Working
- Flexible working hours
- Mobile working
- Hybrid work schedule
- Remote work possibility
Modern Office
- Modern workplace equipment
More Vacation Days
- 30 days of vacation
Corporate Discounts
- Discounted online shopping
Public Transport Subsidies
- Subsidy for Germany Ticket
Parking & Commuter Benefits
- E-charging stations
- Company parking
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AI Data Scientist(m/w/x)
Building AI-driven data pipelines for renewable energy analytics. Advanced statistical analysis and Python/R proficiency required. 30 days vacation, flexible hours, mobile working.
Requirements
- Bachelor's or Master's in Computer Science, Data Science, or similar
- Proven experience in Data Science / Data Engineering
- Advanced statistical analysis, EDA, and hypothesis-driven modeling
- Strong Python/R proficiency for data science (pandas, numpy, scikit-learn)
- AI-supported development skills
- Expertise in feature engineering, data preparation, and quality assessment
- Ability to select appropriate models based on problem and data maturity
- Understanding of LLMs and AI approaches (limitations, bias, quality)
- Strong analytical storytelling for business decisions
- Experience with data processing and pipelines
- Basic understanding of cloud & AI Ops concepts
- Strong problem-solving skills with analytical mindset
- Team-orientation and openness to collaboration
- Ability to explain technical concepts to stakeholders
- Experience in B2B or sales analytics (advantageous)
- Knowledge of renewable energy or technology sector (advantageous)
Tasks
- Prepare and clean data for model training
- Ensure data quality, consistency, and availability
- Integrate data from CRM, ERP, and other business systems
- Build and maintain data pipelines
- Perform feature engineering
- Optimize machine learning models
- Support model deployment and integration
- Monitor and improve model performance
- Design and optimize prompts and LLM-based solutions
- Assist in designing internal compliance frameworks
- Ensure ethical standards and operational standards
- Comply with laws, rules, and regulations (e.g., EU AI Act, GDPR)
- Collaborate with stakeholders to translate requirements
- Provide technical input to project teams
- Continuously improve AI development processes
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- R
- pandas
- numpy
- scikit-learn
- LLMs
Benefits
Learning & Development
- Further training opportunities
Flexible Working
- Flexible working hours
- Mobile working
- Hybrid work schedule
- Remote work possibility
Modern Office
- Modern workplace equipment
More Vacation Days
- 30 days of vacation
Corporate Discounts
- Discounted online shopping
Public Transport Subsidies
- Subsidy for Germany Ticket
Parking & Commuter Benefits
- E-charging stations
- Company parking
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
BayWa r.e.
Industry
EnergyAutomation
Description
Das Unternehmen ist ein Anbieter von Lösungen zur Energiewende und betreibt weltweit Standorte mit über 4.500 Mitarbeitern.
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